THE EFFECT OF DIFFERENT ATMOSPHERIC CORRECTIONS ON BATHYMETRY EXTRACTION USING LANDSAT 8 SATELLITE IMAGERY

Kuncoro Teguh Setiawan, Yennie Marini, Johannes Manalu, Syarif Budhiman

Abstract

Remote sensing technology can be used to obtain information bathymetry. Bathymetric information plays an important role for fisheries, hydrographic and navigation safety. Bathymetric information derived from remote sensing data is highly dependent on the quality of satellite data use and processing. One of the processing to be done is the atmospheric correction process. The data used in this study is Landsat 8 image obtained on June 19, 2013. The purpose of this study was to determine the effect of different atmospheric correction on bathymetric information extraction from Landsat satellite image data 8. The atmospheric correction methods applied were the minimum radiant, Dark Pixels and ATCOR. Bathymetry extraction result of Landsat 8 uses a third method of atmospheric correction is difficult to distinguish which one is best. The calculation of the difference extraction results was determined from regression models and correlation coefficient value calculation error is generated.

Keywords

atmospheric correction; bathymetry; Landsat 8 imagery

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References

Butler MJA, Mouchot C., Barote V., Blanc LC, (1988), The Application of Remote Sensing Technology to Marine Fisheries. An Introductory Manual. FAO Fisheries Technical Paper No.295. Rome: FAO.129.

Danoedoro P., (1996), Digital Image Processing: Theory and Its Application in the Field of Remote Sensing. Yogyakarta: Fakulty of Geography Gajah Mada University. 254.

Jensen JR, (1986), Introductory Digital Image Processing: A Remote Sensing Perspective. New Jersey: Prentice Hall. 276 p. Jerlov NG, Nielsen ES. 1974. Optical Aspect of Oceanography. London and New York: Academic Press. 494.

Jupp DLB, (1988), Background and Extensions to Depth of Penetration (DOP) Mapping in Shallow Coastal Waters. Proceedings of the Symposium on Remote Sensing of the Coastal Zone. Gold Coast. Quennsland. IV.2.1 – IV.2.19.

Lillesand TM, Kiefer RW, (1994), Remote Sensing and Image Interpretation. Dulbahri.

Lyzenga DR, (1978), Passive Remote Sensing Techniques for Mapping Water depth and Bottom Features. Applied Optics 17:379-383.

Lyzenga DR, (1981), Remote sensing of bottom reflectance and water attenuation parameter in shallow water using aircraft and Landsat data.International Journal of Remote Sensing 2:71-82.

Lyzenga DR, (1985), Shallow-water Bathymetry Using Combined Lidar and Passive Multispectral Scanner Data. Int. J. Remote Sens. 6: 115–125.

Setiawan KT, (2013), Study Of Bathymetry Map Using Landsat Etm+ Data - A Case Study At Menjangan Island, Bali. [Thesis]. Denpasar: Postgraduate Program Udayana University.

Sidabutar HM, (2000), Coral Reef Mapping Using Satellite Imagery LANDSAT TM in Menjangan Island, Bali Barat. [Thesis]. Bogor: Faculty of Fisheries and Marine Science, Bogor Agricultural University.

Trisakti B., Nugroho G., (2012), Standardization of multi temporal and multi Sensor satellite Data correction (Landsat TM/ ETM+ and Spot - 4). Remote Sensing Journal. LAPAN.

Van Hengel W,. Spitzer D., (1991), Multi-temporal Water Depth Mapping by Means of LandsatTM. International Journal of Remote Sensing 12:703-712.

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